Quality Assurance Engineer with expertise in manual and automation testing, particularly skilled in Selenium for UI and API testing. Proficient in Python, Java and SQL with solid experience in managing and validating clinical trial data systems. Demonstrated effectiveness in cross-functional collaborations, delivering high-quality, reliable software solutions compliant with regulatory standards.
Overview
2
2
years of professional experience
1
1
Certification
Work History
Programmer Analyst (QA and Testing)
Cognizant Technology Solutions
Chennai
08.2021 - 09.2023
Conducted manual and automation testing using Selenium for clinical trial software systems of client (Servier Laboratories, France), enhancing defect detection efficiency and compliance.
Executed approximately 150 automated test scripts per cycle, reducing testing time and significantly accelerating release schedules.
Managed defect lifecycle via JIRA, improving defect resolution timelines by approximately 30%.
Collaborated in Root Cause Analysis (RCA) and implemented corrective actions that addressed recurring data integrity issues.
Ensured strict adherence to clinical SOPs and regulatory guidelines, directly contributing to successful audit outcomes.
Developed and deployed automated validation scripts, effectively reducing manual workload and improving accuracy in clinical data validation.
Education
Master of Science - Applied Data Science
University of Essex
Colchester
03.2025
Bachelor of Technology - Mechanical Engineering
Amrita Vishwa Vidyapeetham
Coimbatore
06.2021
Skills
Python
R
SQL
PL/SQL
Automation tools
Software testing
Database management
Data pipeline design
Google Cloud
Oracle DB
SQL Server
Team collaboration
Effective communication
Certification
Completed Building Data Solutions with Azure Databricks course.
Advanced SQL Training: Completed a SQL course, gaining advanced skills in ETL pipeline, database management and query optimization.
Automation Testing Professional Training - Completed comprehensive hands-on courses covering Selenium testing frameworks, Jenkins continuous integration, and automation testing methodologies.
IT Domain Projects
Signature Verification using dual CNN Architecture
Automated Testing Framework for ETL Pipelines
Advanced Predictive Maintenance and Fault Diagnosis Using ML
Customer Churn Prediction using Machine Learning
Real-time fraud detection in financial transactions, sentiment analysis on social media data